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  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## **1. 安装依赖**"
      ],
      "metadata": {
        "id": "LV2XtjKLqrIt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q datasets==2.18.0    # 测试时发现 2.19.0 有点小问题，稳妥起见用 2.18.0\n",
        "!pip install -U accelerate"
      ],
      "metadata": {
        "id": "TTBpT378fD_c"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **2. 模型初始化**"
      ],
      "metadata": {
        "id": "CqXZM2qNqy1Z"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AXumGAfWbKtr"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import torch\n",
        "\n",
        "os.environ['WANDB_DISABLED'] = 'true'                       # 禁用 wandb，也可以不用这一条\n",
        "device = 'cuda' if torch.cuda.is_available() else 'cpu'     # 设置 device，能用 cuda 就用 cuda，苹果 M 系列可以用 mps"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoTokenizer, AutoModelForCausalLM, AutoConfig\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained('NousResearch/Llama-2-7b-hf')\n",
        "tokenizer"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        },
        "id": "E9IPU5bQbZkD",
        "outputId": "dba12bb9-947c-439a-84de-9667f1bef79d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/746 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.model:   0%|          | 0.00/500k [00:00<?, ?B/s]"
            ],
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              "version_major": 2,
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/1.84M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "special_tokens_map.json:   0%|          | 0.00/435 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a27427d1b0ba4496b64289e8cfa36837"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LlamaTokenizerFast(name_or_path='NousResearch/Llama-2-7b-hf', vocab_size=32000, model_max_length=1000000000000000019884624838656, is_fast=True, padding_side='left', truncation_side='right', special_tokens={'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<unk>'}, clean_up_tokenization_spaces=False),  added_tokens_decoder={\n",
              "\t0: AddedToken(\"<unk>\", rstrip=False, lstrip=False, single_word=False, normalized=True, special=True),\n",
              "\t1: AddedToken(\"<s>\", rstrip=False, lstrip=False, single_word=False, normalized=True, special=True),\n",
              "\t2: AddedToken(\"</s>\", rstrip=False, lstrip=False, single_word=False, normalized=True, special=True),\n",
              "}"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hidden_size = 256\n",
        "intermediate_size = (int(hidden_size * 8/3 / 128) + 1) * 128\n",
        "\n",
        "config = AutoConfig.for_model(\n",
        "    model_type=\"llama\",\n",
        "    hidden_size=hidden_size,\n",
        "    intermediate_size=intermediate_size,\n",
        "    num_attention_heads=16,\n",
        "    num_hidden_layers=4,\n",
        "    num_key_value_heads=8\n",
        ")\n",
        "config"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_yPHIqf5bt4e",
        "outputId": "1d889970-697d-4e3e-b130-6576d922e517"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LlamaConfig {\n",
              "  \"attention_bias\": false,\n",
              "  \"attention_dropout\": 0.0,\n",
              "  \"bos_token_id\": 1,\n",
              "  \"eos_token_id\": 2,\n",
              "  \"hidden_act\": \"silu\",\n",
              "  \"hidden_size\": 256,\n",
              "  \"initializer_range\": 0.02,\n",
              "  \"intermediate_size\": 768,\n",
              "  \"max_position_embeddings\": 2048,\n",
              "  \"model_type\": \"llama\",\n",
              "  \"num_attention_heads\": 16,\n",
              "  \"num_hidden_layers\": 4,\n",
              "  \"num_key_value_heads\": 8,\n",
              "  \"pretraining_tp\": 1,\n",
              "  \"rms_norm_eps\": 1e-06,\n",
              "  \"rope_scaling\": null,\n",
              "  \"rope_theta\": 10000.0,\n",
              "  \"tie_word_embeddings\": false,\n",
              "  \"transformers_version\": \"4.40.0\",\n",
              "  \"use_cache\": true,\n",
              "  \"vocab_size\": 32000\n",
              "}"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "\n",
        "model = AutoModelForCausalLM.from_config(\n",
        "    config,\n",
        "    torch_dtype=torch.float32\n",
        ").to(device)\n",
        "model"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DYGMnXVvcNxB",
        "outputId": "9123b624-9e0c-48f9-cd04-90f796aa3382"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LlamaForCausalLM(\n",
              "  (model): LlamaModel(\n",
              "    (embed_tokens): Embedding(32000, 256)\n",
              "    (layers): ModuleList(\n",
              "      (0-3): 4 x LlamaDecoderLayer(\n",
              "        (self_attn): LlamaSdpaAttention(\n",
              "          (q_proj): Linear(in_features=256, out_features=256, bias=False)\n",
              "          (k_proj): Linear(in_features=256, out_features=128, bias=False)\n",
              "          (v_proj): Linear(in_features=256, out_features=128, bias=False)\n",
              "          (o_proj): Linear(in_features=256, out_features=256, bias=False)\n",
              "          (rotary_emb): LlamaRotaryEmbedding()\n",
              "        )\n",
              "        (mlp): LlamaMLP(\n",
              "          (gate_proj): Linear(in_features=256, out_features=768, bias=False)\n",
              "          (up_proj): Linear(in_features=256, out_features=768, bias=False)\n",
              "          (down_proj): Linear(in_features=768, out_features=256, bias=False)\n",
              "          (act_fn): SiLU()\n",
              "        )\n",
              "        (input_layernorm): LlamaRMSNorm()\n",
              "        (post_attention_layernorm): LlamaRMSNorm()\n",
              "      )\n",
              "    )\n",
              "    (norm): LlamaRMSNorm()\n",
              "  )\n",
              "  (lm_head): Linear(in_features=256, out_features=32000, bias=False)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 打印模型的每一层及其参数大小\n",
        "def print_model_parameters(model):\n",
        "    print(\"Layer Name & Parameters\")\n",
        "    print(\"----------------------------\")\n",
        "    total_params = 0\n",
        "    for name, parameter in model.named_parameters():\n",
        "        param_size = parameter.size()\n",
        "        param_count = torch.prod(torch.tensor(param_size)).item()\n",
        "        total_params += param_count\n",
        "        print(f\"{name:50} | Size: {str(param_size):30} | Count: {str(param_count):20}\")\n",
        "    print(\"----------------------------\")\n",
        "    print(f\"Total Parameters: {total_params} ({total_params / 1000000:.1f} M)\")\n",
        "\n",
        "print_model_parameters(model)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cz76ZjKccPeL",
        "outputId": "350ebb55-93bd-4f77-b1d9-403e52a055bc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Layer Name & Parameters\n",
            "----------------------------\n",
            "model.embed_tokens.weight                          | Size: torch.Size([32000, 256])       | Count: 8192000             \n",
            "model.layers.0.self_attn.q_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.0.self_attn.k_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.0.self_attn.v_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.0.self_attn.o_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.0.mlp.gate_proj.weight                | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.0.mlp.up_proj.weight                  | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.0.mlp.down_proj.weight                | Size: torch.Size([256, 768])         | Count: 196608              \n",
            "model.layers.0.input_layernorm.weight              | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.0.post_attention_layernorm.weight     | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.1.self_attn.q_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.1.self_attn.k_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.1.self_attn.v_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.1.self_attn.o_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.1.mlp.gate_proj.weight                | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.1.mlp.up_proj.weight                  | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.1.mlp.down_proj.weight                | Size: torch.Size([256, 768])         | Count: 196608              \n",
            "model.layers.1.input_layernorm.weight              | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.1.post_attention_layernorm.weight     | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.2.self_attn.q_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.2.self_attn.k_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.2.self_attn.v_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.2.self_attn.o_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.2.mlp.gate_proj.weight                | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.2.mlp.up_proj.weight                  | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.2.mlp.down_proj.weight                | Size: torch.Size([256, 768])         | Count: 196608              \n",
            "model.layers.2.input_layernorm.weight              | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.2.post_attention_layernorm.weight     | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.3.self_attn.q_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.3.self_attn.k_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.3.self_attn.v_proj.weight             | Size: torch.Size([128, 256])         | Count: 32768               \n",
            "model.layers.3.self_attn.o_proj.weight             | Size: torch.Size([256, 256])         | Count: 65536               \n",
            "model.layers.3.mlp.gate_proj.weight                | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.3.mlp.up_proj.weight                  | Size: torch.Size([768, 256])         | Count: 196608              \n",
            "model.layers.3.mlp.down_proj.weight                | Size: torch.Size([256, 768])         | Count: 196608              \n",
            "model.layers.3.input_layernorm.weight              | Size: torch.Size([256])              | Count: 256                 \n",
            "model.layers.3.post_attention_layernorm.weight     | Size: torch.Size([256])              | Count: 256                 \n",
            "model.norm.weight                                  | Size: torch.Size([256])              | Count: 256                 \n",
            "lm_head.weight                                     | Size: torch.Size([32000, 256])       | Count: 8192000             \n",
            "----------------------------\n",
            "Total Parameters: 19532032 (19.5 M)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def inference(\n",
        "    model: AutoModelForCausalLM,\n",
        "    tokenizer: AutoTokenizer,\n",
        "    input_text: str = \"Once upon a time, \",\n",
        "    max_new_tokens: int = 16\n",
        "):\n",
        "    inputs = tokenizer(input_text, return_tensors=\"pt\").to(device)\n",
        "    outputs = model.generate(\n",
        "        **inputs,\n",
        "        pad_token_id=tokenizer.eos_token_id,\n",
        "        max_new_tokens=max_new_tokens,\n",
        "        do_sample=True,\n",
        "        top_k=40,\n",
        "        top_p=0.95,\n",
        "        temperature=0.8\n",
        "    )\n",
        "    generated_text = tokenizer.decode(\n",
        "        outputs[0],\n",
        "        skip_special_tokens=True\n",
        "    )\n",
        "    # print(outputs)\n",
        "    print(generated_text)\n",
        "\n",
        "inference(model, tokenizer)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "18u6JJnpcT17",
        "outputId": "bb636761-34a1-405d-df3d-8000a3146761"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Once upon a time, Hostย crimeine /\\ könnenlinewidth measurementresol perfectly Taylor measèresiones assetviron\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Kaiming 初始化\n",
        "def kaiming_initialization(model):\n",
        "    for name, param in model.named_parameters():\n",
        "        if 'weight' in name and param.dim() > 1:\n",
        "            torch.nn.init.kaiming_uniform_(param, mode='fan_in', nonlinearity='leaky_relu')\n",
        "        elif 'bias' in name:\n",
        "            # 一般偏置项可以初始化为0\n",
        "            torch.nn.init.constant_(param, 0)\n",
        "\n",
        "kaiming_initialization(model)\n",
        "inference(model, tokenizer)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "27djHzzScrtF",
        "outputId": "79413b64-d0ec-4b0c-aeb4-fcd9d705f727"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Once upon a time, oot Kelly interviewemes recent|}{ geometry}}_ veröffentlichtра alle axis Heb robust столі verschill\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **3. 数据集**"
      ],
      "metadata": {
        "id": "bw1wDzGdrjBd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "\n",
        "# 应用全部训练集，约 2.7 M\n",
        "# ds_train = load_dataset('noanabeshima/TinyStoriesV2', split='train')\n",
        "# 这里可以调整比例，我只用了 10%，约 270 K\n",
        "ds_train = load_dataset('noanabeshima/TinyStoriesV2', split='train[:10%]')\n",
        "ds_val = load_dataset('noanabeshima/TinyStoriesV2', split='validation')\n",
        "\n",
        "print(ds_train)\n",
        "print(ds_val)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "94CTFtcBcy0T",
        "outputId": "47ea6a92-2a3c-4096-e4cf-1025fdba49a7"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset({\n",
            "    features: ['text'],\n",
            "    num_rows: 271769\n",
            "})\n",
            "Dataset({\n",
            "    features: ['text'],\n",
            "    num_rows: 27629\n",
            "})\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 查看一下数据示例\n",
        "ds_train[:2]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N6sZ7cVKe8RA",
        "outputId": "0e4cbbb8-25ab-42d6-90f8-9345a268a7ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'text': ['Once upon a time, there was a reliable otter named Ollie. He lived in a river with his family. They all loved to play and swim together.\\nOne day, Ollie\\'s mom said, \"Ollie, hurry and get some fish for dinner!\" Ollie swam fast to catch fish. He saw his friend, the duck. \"Hi, Ollie!\" said the duck. \"Hi, duck!\" said Ollie. \"I need to hurry and catch fish for my family.\"\\nWhile Ollie was catching fish, he found a big shiny stone. He thought, \"This is not a fish, but it is so pretty!\" Ollie took the shiny stone home to show his family. They all looked at the shiny stone and smiled. The shiny stone made everyone happy, and they forgot about the fish for dinner.',\n",
              "  'One day, a little boy named Tim went to the park. He saw a big tiger. The tiger was not mean, but very easy to play with. Tim and the tiger played all day. They had lots of fun.\\nThen, something unexpected happened. The tiger started to shake. Tim was scared. He did not know what was going on. But then, the tiger turned into a nice dog. Tim was very surprised.\\nTim and the dog played together now. They were very happy. The dog was easy to play with too. At the end of the day, Tim went home with his new friend.']}"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from typing import Dict, List\n",
        "\n",
        "def process_func(examples: Dict[str, List]):\n",
        "    max_token = 2048\n",
        "\n",
        "    encoded_texts = tokenizer(examples['text'], add_special_tokens=False)\n",
        "    input_ids_list = encoded_texts['input_ids']\n",
        "\n",
        "    new_input_ids_list, new_attn_mask_list = [], []\n",
        "    for input_ids in input_ids_list:\n",
        "        temp = input_ids[-max_token+1:] + [tokenizer.eos_token_id]\n",
        "        new_input_ids_list.append(temp)\n",
        "        new_attn_mask_list.append([1] * len(temp))\n",
        "    return {\n",
        "        \"input_ids\": new_input_ids_list,\n",
        "        \"attention_mask\": new_attn_mask_list\n",
        "    }"
      ],
      "metadata": {
        "id": "TylQwchUe9v-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ds_train = ds_train.shuffle()\n",
        "\n",
        "ds_train = ds_train.map(\n",
        "    process_func,\n",
        "    batched=True,\n",
        "    num_proc=8,\n",
        "    remove_columns=ds_train.column_names,\n",
        "    desc='Running tokenizer on train_set: '\n",
        ")\n",
        "ds_val = ds_val.map(\n",
        "    process_func,\n",
        "    batched=True,\n",
        "    num_proc=8,\n",
        "    remove_columns=ds_val.column_names,\n",
        "    desc='Running tokenizer on val_set: '\n",
        ")\n",
        "\n",
        "print(ds_train)\n",
        "print(ds_val)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275,
          "referenced_widgets": [
            "d056578678f4480da613dc6673949f50",
            "b1b4053e498246d1afdd614ddacb3e50",
            "53bc7a57c527443d975991fe4474ec5f",
            "130e3495cd594ea59466744136d41030",
            "5229f981e08645dea9dce1f9ff174190",
            "849a860f1a52403988394da50df305b0",
            "1a0ee2931a744f17883b16b55953509b",
            "cb08c851e89549979e527b485229c710",
            "3c893ee9040946619c0606fc6f76e34f",
            "fc0c83b5adf24fdb92e40c0c2439235f",
            "ba853a38c17e426685c752238132ff8c",
            "973bb042b10241d792795a47adf57a2e",
            "9550223dcbe14f9196c5a04b9600902f",
            "27f8ba85a506426ca48ec1c3d5ca0f9c",
            "7366714fc5aa42aeaa860987a483ffd8",
            "4c1a317c15a64671b29f7027693dd3a1",
            "5fb5578c194540caad9ddfeb0aff390b",
            "130d14a6153348ea81bce205693e38f6",
            "59bbf8d448454ec694ab5d3ff1f9f37c",
            "8aa4dd1b3a2f4786a2aef805dded8639",
            "87facff8a2a844d1b08979adf0064844",
            "7f36216f509b4ae7bb03e59ff14c97e2"
          ]
        },
        "id": "mHCIhJjqfNzs",
        "outputId": "013f7cdd-5804-4608-d177-41376d4bf614"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/multiprocess/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
            "  self.pid = os.fork()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Running tokenizer on train_set:  (num_proc=8):   0%|          | 0/271769 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d056578678f4480da613dc6673949f50"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Running tokenizer on val_set:  (num_proc=8):   0%|          | 0/27629 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "973bb042b10241d792795a47adf57a2e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset({\n",
            "    features: ['input_ids', 'attention_mask'],\n",
            "    num_rows: 271769\n",
            "})\n",
            "Dataset({\n",
            "    features: ['input_ids', 'attention_mask'],\n",
            "    num_rows: 27629\n",
            "})\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import DataCollatorForLanguageModeling\n",
        "\n",
        "data_collator = DataCollatorForLanguageModeling(tokenizer=tokenizer, mlm=False)"
      ],
      "metadata": {
        "id": "ZKKCrKoWfcGT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **4. 训练**"
      ],
      "metadata": {
        "id": "4dfnE-b0r6lF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import TrainingArguments\n",
        "\n",
        "training_args = TrainingArguments(\n",
        "    output_dir='saves',\n",
        "    overwrite_output_dir=True,\n",
        "    do_train=True,\n",
        "    do_eval=True,\n",
        "    eval_steps=1000,\n",
        "    per_device_train_batch_size=4,\n",
        "    gradient_accumulation_steps=1,\n",
        "    learning_rate=1e-4,\n",
        "    lr_scheduler_type='cosine',\n",
        "    bf16=torch.cuda.is_bf16_supported(),\n",
        "    fp16=not torch.cuda.is_bf16_supported(),\n",
        "    logging_steps=50,\n",
        "    report_to=None,\n",
        "    num_train_epochs=3,\n",
        "    save_steps=1000,\n",
        "    save_total_limit=2,\n",
        "    seed=3407\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EfGR9pVZfpok",
        "outputId": "14de6f66-7500-4950-8091-3cf9b3cd7d48"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Using the `WANDB_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import Trainer\n",
        "\n",
        "trainer = Trainer(\n",
        "    model=model,\n",
        "    args=training_args,\n",
        "    train_dataset=ds_train,\n",
        "    eval_dataset=ds_val,\n",
        "    tokenizer=tokenizer,\n",
        "    data_collator=data_collator,\n",
        ")"
      ],
      "metadata": {
        "id": "epWxTdj4fwOS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 启动训练\n",
        "# 这里只 train 了 2 epochs，loss 收敛到了 1.6 左右\n",
        "trainer.train()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cyrt_godhCV3",
        "outputId": "642d2f81-9696-40a5-9706-061b9f37cf24"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='67965' max='101916' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [ 67965/101916 1:36:32 < 48:13, 11.73 it/s, Epoch 2.00/3]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Step</th>\n",
              "      <th>Training Loss</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>50</td>\n",
              "      <td>9.006400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>100</td>\n",
              "      <td>6.671500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>150</td>\n",
              "      <td>5.641300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>200</td>\n",
              "      <td>5.200200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>250</td>\n",
              "      <td>4.892800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>300</td>\n",
              "      <td>4.678600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>350</td>\n",
              "      <td>4.475400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>400</td>\n",
              "      <td>4.403300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>450</td>\n",
              "      <td>4.303200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>500</td>\n",
              "      <td>4.152600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>550</td>\n",
              "      <td>4.135500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>600</td>\n",
              "      <td>4.021500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>650</td>\n",
              "      <td>3.960000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>700</td>\n",
              "      <td>3.840500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>750</td>\n",
              "      <td>3.790900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>800</td>\n",
              "      <td>3.756200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>850</td>\n",
              "      <td>3.746000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>900</td>\n",
              "      <td>3.654800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>950</td>\n",
              "      <td>3.617900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1000</td>\n",
              "      <td>3.592300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1050</td>\n",
              "      <td>3.497900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1100</td>\n",
              "      <td>3.511300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1150</td>\n",
              "      <td>3.462700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1200</td>\n",
              "      <td>3.485700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1250</td>\n",
              "      <td>3.472500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1300</td>\n",
              "      <td>3.469900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1350</td>\n",
              "      <td>3.408600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1400</td>\n",
              "      <td>3.333100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1450</td>\n",
              "      <td>3.302900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1500</td>\n",
              "      <td>3.312700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1550</td>\n",
              "      <td>3.296000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1600</td>\n",
              "      <td>3.267500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1650</td>\n",
              "      <td>3.252400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1700</td>\n",
              "      <td>3.233800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1750</td>\n",
              "      <td>3.245600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1800</td>\n",
              "      <td>3.181900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1850</td>\n",
              "      <td>3.186500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1900</td>\n",
              "      <td>3.142200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1950</td>\n",
              "      <td>3.154600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2000</td>\n",
              "      <td>3.118100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2050</td>\n",
              "      <td>3.090000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2100</td>\n",
              "      <td>3.028500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2150</td>\n",
              "      <td>3.135400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2200</td>\n",
              "      <td>3.040300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2250</td>\n",
              "      <td>3.039500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2300</td>\n",
              "      <td>3.020800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2350</td>\n",
              "      <td>2.977900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2400</td>\n",
              "      <td>3.053800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2450</td>\n",
              "      <td>3.001700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2500</td>\n",
              "      <td>2.953600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2550</td>\n",
              "      <td>2.938900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2600</td>\n",
              "      <td>2.916000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2650</td>\n",
              "      <td>2.999800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2700</td>\n",
              "      <td>2.895500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2750</td>\n",
              "      <td>2.926200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2800</td>\n",
              "      <td>2.913700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2850</td>\n",
              "      <td>2.910100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2900</td>\n",
              "      <td>2.900700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2950</td>\n",
              "      <td>2.883700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3000</td>\n",
              "      <td>2.862300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3050</td>\n",
              "      <td>2.878000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3100</td>\n",
              "      <td>2.766700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3150</td>\n",
              "      <td>2.835000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3200</td>\n",
              "      <td>2.805400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3250</td>\n",
              "      <td>2.805900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3300</td>\n",
              "      <td>2.806000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3350</td>\n",
              "      <td>2.829700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3400</td>\n",
              "      <td>2.765000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3450</td>\n",
              "      <td>2.815100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3500</td>\n",
              "      <td>2.799800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3550</td>\n",
              "      <td>2.753400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3600</td>\n",
              "      <td>2.760000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3650</td>\n",
              "      <td>2.776600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3700</td>\n",
              "      <td>2.709300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3750</td>\n",
              "      <td>2.761500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3800</td>\n",
              "      <td>2.734600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3850</td>\n",
              "      <td>2.731300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3900</td>\n",
              "      <td>2.725300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3950</td>\n",
              "      <td>2.743400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4000</td>\n",
              "      <td>2.688700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4050</td>\n",
              "      <td>2.735800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4100</td>\n",
              "      <td>2.702400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4150</td>\n",
              "      <td>2.664800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4200</td>\n",
              "      <td>2.662600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4250</td>\n",
              "      <td>2.630100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4300</td>\n",
              "      <td>2.682900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4350</td>\n",
              "      <td>2.754800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4400</td>\n",
              "      <td>2.654300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4450</td>\n",
              "      <td>2.670400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4500</td>\n",
              "      <td>2.615100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4550</td>\n",
              "      <td>2.619000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4600</td>\n",
              "      <td>2.647900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4650</td>\n",
              "      <td>2.610700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4700</td>\n",
              "      <td>2.625900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4750</td>\n",
              "      <td>2.600600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4800</td>\n",
              "      <td>2.603300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4850</td>\n",
              "      <td>2.637300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4900</td>\n",
              "      <td>2.586600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4950</td>\n",
              "      <td>2.637900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5000</td>\n",
              "      <td>2.568200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5050</td>\n",
              "      <td>2.567500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5100</td>\n",
              "      <td>2.553200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5150</td>\n",
              "      <td>2.546800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5200</td>\n",
              "      <td>2.558100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5250</td>\n",
              "      <td>2.569100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5300</td>\n",
              "      <td>2.527500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5350</td>\n",
              "      <td>2.597100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5400</td>\n",
              "      <td>2.601100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5450</td>\n",
              "      <td>2.552500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5500</td>\n",
              "      <td>2.561800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5550</td>\n",
              "      <td>2.520800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5600</td>\n",
              "      <td>2.543800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5650</td>\n",
              "      <td>2.527400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5700</td>\n",
              "      <td>2.521900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5750</td>\n",
              "      <td>2.545600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5800</td>\n",
              "      <td>2.508800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5850</td>\n",
              "      <td>2.526400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5900</td>\n",
              "      <td>2.498200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5950</td>\n",
              "      <td>2.520300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6000</td>\n",
              "      <td>2.511000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6050</td>\n",
              "      <td>2.498100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6100</td>\n",
              "      <td>2.517200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6150</td>\n",
              "      <td>2.496900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6200</td>\n",
              "      <td>2.465300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6250</td>\n",
              "      <td>2.526000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6300</td>\n",
              "      <td>2.457800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6350</td>\n",
              "      <td>2.432100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6400</td>\n",
              "      <td>2.453700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6450</td>\n",
              "      <td>2.480900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6500</td>\n",
              "      <td>2.453100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6550</td>\n",
              "      <td>2.422400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6600</td>\n",
              "      <td>2.477600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6650</td>\n",
              "      <td>2.428900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6700</td>\n",
              "      <td>2.414600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6750</td>\n",
              "      <td>2.437600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6800</td>\n",
              "      <td>2.463400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6850</td>\n",
              "      <td>2.414300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6900</td>\n",
              "      <td>2.465300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>6950</td>\n",
              "      <td>2.458900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7000</td>\n",
              "      <td>2.435300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7050</td>\n",
              "      <td>2.424100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7100</td>\n",
              "      <td>2.386500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7150</td>\n",
              "      <td>2.424100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7200</td>\n",
              "      <td>2.413900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7250</td>\n",
              "      <td>2.372200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7300</td>\n",
              "      <td>2.458200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7350</td>\n",
              "      <td>2.429300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7400</td>\n",
              "      <td>2.404400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7450</td>\n",
              "      <td>2.404400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7500</td>\n",
              "      <td>2.368700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7550</td>\n",
              "      <td>2.378300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7600</td>\n",
              "      <td>2.338800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7650</td>\n",
              "      <td>2.368000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7700</td>\n",
              "      <td>2.326400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7750</td>\n",
              "      <td>2.403600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7800</td>\n",
              "      <td>2.373800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7850</td>\n",
              "      <td>2.380200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7900</td>\n",
              "      <td>2.351300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>7950</td>\n",
              "      <td>2.312400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8000</td>\n",
              "      <td>2.322800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8050</td>\n",
              "      <td>2.315900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8100</td>\n",
              "      <td>2.396100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8150</td>\n",
              "      <td>2.381300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8200</td>\n",
              "      <td>2.378200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8250</td>\n",
              "      <td>2.353300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8300</td>\n",
              "      <td>2.330200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8350</td>\n",
              "      <td>2.324200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8400</td>\n",
              "      <td>2.338200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8450</td>\n",
              "      <td>2.342800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8500</td>\n",
              "      <td>2.326000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8550</td>\n",
              "      <td>2.282500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8600</td>\n",
              "      <td>2.336800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8650</td>\n",
              "      <td>2.356600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8700</td>\n",
              "      <td>2.304600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8750</td>\n",
              "      <td>2.303500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8800</td>\n",
              "      <td>2.347200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8850</td>\n",
              "      <td>2.354000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8900</td>\n",
              "      <td>2.301300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8950</td>\n",
              "      <td>2.348300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9000</td>\n",
              "      <td>2.273400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9050</td>\n",
              "      <td>2.293900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9100</td>\n",
              "      <td>2.290200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9150</td>\n",
              "      <td>2.279100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9200</td>\n",
              "      <td>2.272500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9250</td>\n",
              "      <td>2.271300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9300</td>\n",
              "      <td>2.304000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9350</td>\n",
              "      <td>2.278000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9400</td>\n",
              "      <td>2.302500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9450</td>\n",
              "      <td>2.286400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9500</td>\n",
              "      <td>2.298400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9550</td>\n",
              "      <td>2.255900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9600</td>\n",
              "      <td>2.269000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9650</td>\n",
              "      <td>2.292500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9700</td>\n",
              "      <td>2.215700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9750</td>\n",
              "      <td>2.255200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9800</td>\n",
              "      <td>2.272500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9850</td>\n",
              "      <td>2.237700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9900</td>\n",
              "      <td>2.360000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9950</td>\n",
              "      <td>2.271900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10000</td>\n",
              "      <td>2.271300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10050</td>\n",
              "      <td>2.229500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10100</td>\n",
              "      <td>2.239700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10150</td>\n",
              "      <td>2.269100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10200</td>\n",
              "      <td>2.251600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10250</td>\n",
              "      <td>2.285100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10300</td>\n",
              "      <td>2.240400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10350</td>\n",
              "      <td>2.227900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10400</td>\n",
              "      <td>2.242600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10450</td>\n",
              "      <td>2.209000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10500</td>\n",
              "      <td>2.256800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10550</td>\n",
              "      <td>2.263400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10600</td>\n",
              "      <td>2.206100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10650</td>\n",
              "      <td>2.230400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10700</td>\n",
              "      <td>2.285300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10750</td>\n",
              "      <td>2.196000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10800</td>\n",
              "      <td>2.197100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10850</td>\n",
              "      <td>2.218900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10900</td>\n",
              "      <td>2.211000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10950</td>\n",
              "      <td>2.210700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11000</td>\n",
              "      <td>2.251600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11050</td>\n",
              "      <td>2.250900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11100</td>\n",
              "      <td>2.183400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11150</td>\n",
              "      <td>2.219900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11200</td>\n",
              "      <td>2.203700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11250</td>\n",
              "      <td>2.232900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11300</td>\n",
              "      <td>2.231800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11350</td>\n",
              "      <td>2.230200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11400</td>\n",
              "      <td>2.221800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11450</td>\n",
              "      <td>2.171200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11500</td>\n",
              "      <td>2.219000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11550</td>\n",
              "      <td>2.195000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11600</td>\n",
              "      <td>2.190300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11650</td>\n",
              "      <td>2.201400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11700</td>\n",
              "      <td>2.195000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11750</td>\n",
              "      <td>2.177600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11800</td>\n",
              "      <td>2.225700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11850</td>\n",
              "      <td>2.159900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11900</td>\n",
              "      <td>2.162100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>11950</td>\n",
              "      <td>2.150100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12000</td>\n",
              "      <td>2.260800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12050</td>\n",
              "      <td>2.188900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12100</td>\n",
              "      <td>2.178800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12150</td>\n",
              "      <td>2.159600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12200</td>\n",
              "      <td>2.168600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12250</td>\n",
              "      <td>2.126800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12300</td>\n",
              "      <td>2.180000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12350</td>\n",
              "      <td>2.190900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12400</td>\n",
              "      <td>2.169200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12450</td>\n",
              "      <td>2.197000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12500</td>\n",
              "      <td>2.120100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12550</td>\n",
              "      <td>2.168700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12600</td>\n",
              "      <td>2.185500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12650</td>\n",
              "      <td>2.199400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12700</td>\n",
              "      <td>2.213200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12750</td>\n",
              "      <td>2.161000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12800</td>\n",
              "      <td>2.145900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12850</td>\n",
              "      <td>2.207300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12900</td>\n",
              "      <td>2.156900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12950</td>\n",
              "      <td>2.140100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13000</td>\n",
              "      <td>2.108900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13050</td>\n",
              "      <td>2.178800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13100</td>\n",
              "      <td>2.183600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13150</td>\n",
              "      <td>2.137800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13200</td>\n",
              "      <td>2.140400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13250</td>\n",
              "      <td>2.149600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13300</td>\n",
              "      <td>2.189400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13350</td>\n",
              "      <td>2.180500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13400</td>\n",
              "      <td>2.107700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13450</td>\n",
              "      <td>2.118400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13500</td>\n",
              "      <td>2.024900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13550</td>\n",
              "      <td>2.128900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13600</td>\n",
              "      <td>2.116200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13650</td>\n",
              "      <td>2.119100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13700</td>\n",
              "      <td>2.122100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13750</td>\n",
              "      <td>2.146200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13800</td>\n",
              "      <td>2.160200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13850</td>\n",
              "      <td>2.119400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13900</td>\n",
              "      <td>2.140900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13950</td>\n",
              "      <td>2.123500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14000</td>\n",
              "      <td>2.096900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14050</td>\n",
              "      <td>2.132500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14100</td>\n",
              "      <td>2.140900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14150</td>\n",
              "      <td>2.089100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14200</td>\n",
              "      <td>2.080100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14250</td>\n",
              "      <td>2.082100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14300</td>\n",
              "      <td>2.085800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14350</td>\n",
              "      <td>2.082600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14400</td>\n",
              "      <td>2.093100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14450</td>\n",
              "      <td>2.073700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14500</td>\n",
              "      <td>2.075600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14550</td>\n",
              "      <td>2.082700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14600</td>\n",
              "      <td>2.057900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14650</td>\n",
              "      <td>2.076300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14700</td>\n",
              "      <td>2.108500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14750</td>\n",
              "      <td>2.084100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14800</td>\n",
              "      <td>2.079100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14850</td>\n",
              "      <td>2.068200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14900</td>\n",
              "      <td>2.081200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>14950</td>\n",
              "      <td>2.047600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15000</td>\n",
              "      <td>2.089400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15050</td>\n",
              "      <td>2.096700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15100</td>\n",
              "      <td>2.121800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15150</td>\n",
              "      <td>2.041700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15200</td>\n",
              "      <td>2.073900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15250</td>\n",
              "      <td>2.041900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15300</td>\n",
              "      <td>2.090200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15350</td>\n",
              "      <td>2.073300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15400</td>\n",
              "      <td>2.048700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15450</td>\n",
              "      <td>2.053400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15500</td>\n",
              "      <td>2.083000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15550</td>\n",
              "      <td>2.040300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15600</td>\n",
              "      <td>2.041800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15650</td>\n",
              "      <td>2.054100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15700</td>\n",
              "      <td>2.052100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15750</td>\n",
              "      <td>2.056700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15800</td>\n",
              "      <td>2.093600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15850</td>\n",
              "      <td>2.048400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15900</td>\n",
              "      <td>2.080700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>15950</td>\n",
              "      <td>2.113800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16000</td>\n",
              "      <td>2.073500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16050</td>\n",
              "      <td>2.063200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16100</td>\n",
              "      <td>2.039300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16150</td>\n",
              "      <td>2.046700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16200</td>\n",
              "      <td>2.095700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16250</td>\n",
              "      <td>2.029600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16300</td>\n",
              "      <td>2.077900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16350</td>\n",
              "      <td>2.062600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16400</td>\n",
              "      <td>2.031300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16450</td>\n",
              "      <td>2.055700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16500</td>\n",
              "      <td>1.994800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16550</td>\n",
              "      <td>2.060400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16600</td>\n",
              "      <td>2.065900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16650</td>\n",
              "      <td>2.063900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16700</td>\n",
              "      <td>2.059400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16750</td>\n",
              "      <td>2.026600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16800</td>\n",
              "      <td>2.020600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16850</td>\n",
              "      <td>2.013200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16900</td>\n",
              "      <td>2.043400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>16950</td>\n",
              "      <td>2.075100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17000</td>\n",
              "      <td>2.021800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17050</td>\n",
              "      <td>2.079300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17100</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17150</td>\n",
              "      <td>2.041500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17200</td>\n",
              "      <td>2.033800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17250</td>\n",
              "      <td>2.056600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17300</td>\n",
              "      <td>2.013100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17350</td>\n",
              "      <td>1.998600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17400</td>\n",
              "      <td>2.020000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17450</td>\n",
              "      <td>2.012400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17500</td>\n",
              "      <td>2.015500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17550</td>\n",
              "      <td>2.111700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17600</td>\n",
              "      <td>2.020000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17650</td>\n",
              "      <td>2.014300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17700</td>\n",
              "      <td>2.011600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17750</td>\n",
              "      <td>2.020000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17800</td>\n",
              "      <td>1.992600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17850</td>\n",
              "      <td>1.990300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17900</td>\n",
              "      <td>1.991600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>17950</td>\n",
              "      <td>1.983700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18000</td>\n",
              "      <td>2.062800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18050</td>\n",
              "      <td>2.038900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18100</td>\n",
              "      <td>1.965700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18150</td>\n",
              "      <td>1.978400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18200</td>\n",
              "      <td>1.976900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18250</td>\n",
              "      <td>1.995400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18300</td>\n",
              "      <td>1.967000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18350</td>\n",
              "      <td>1.976700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18400</td>\n",
              "      <td>2.014400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18450</td>\n",
              "      <td>2.000600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18500</td>\n",
              "      <td>1.960200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18550</td>\n",
              "      <td>2.006700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18600</td>\n",
              "      <td>1.974100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18650</td>\n",
              "      <td>1.973600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18700</td>\n",
              "      <td>1.929700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18750</td>\n",
              "      <td>2.019800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18800</td>\n",
              "      <td>2.003400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18850</td>\n",
              "      <td>2.054000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18900</td>\n",
              "      <td>1.988100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18950</td>\n",
              "      <td>1.996700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19000</td>\n",
              "      <td>2.013000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19050</td>\n",
              "      <td>1.999400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19100</td>\n",
              "      <td>1.946800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19150</td>\n",
              "      <td>1.971500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19200</td>\n",
              "      <td>1.981800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19250</td>\n",
              "      <td>1.981400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19300</td>\n",
              "      <td>2.042300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19350</td>\n",
              "      <td>1.972400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19400</td>\n",
              "      <td>1.985000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19450</td>\n",
              "      <td>1.992600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19500</td>\n",
              "      <td>1.985700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19550</td>\n",
              "      <td>1.992600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19600</td>\n",
              "      <td>1.977000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19650</td>\n",
              "      <td>1.989600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19700</td>\n",
              "      <td>1.978100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19750</td>\n",
              "      <td>1.994800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19800</td>\n",
              "      <td>1.974400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19850</td>\n",
              "      <td>2.026600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19900</td>\n",
              "      <td>1.908000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19950</td>\n",
              "      <td>1.979700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20000</td>\n",
              "      <td>1.936400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20050</td>\n",
              "      <td>1.962700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20100</td>\n",
              "      <td>1.966000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20150</td>\n",
              "      <td>1.998600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20200</td>\n",
              "      <td>1.914300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20250</td>\n",
              "      <td>1.917900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20300</td>\n",
              "      <td>1.931800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20350</td>\n",
              "      <td>1.965200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20400</td>\n",
              "      <td>1.932500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20450</td>\n",
              "      <td>1.908100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20500</td>\n",
              "      <td>1.958700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20550</td>\n",
              "      <td>1.963000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20600</td>\n",
              "      <td>1.975600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20650</td>\n",
              "      <td>1.941900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20700</td>\n",
              "      <td>1.955400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20750</td>\n",
              "      <td>1.968500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20800</td>\n",
              "      <td>1.907700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20850</td>\n",
              "      <td>1.960400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20900</td>\n",
              "      <td>1.985200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20950</td>\n",
              "      <td>1.948500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21000</td>\n",
              "      <td>1.995300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21050</td>\n",
              "      <td>1.943500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21100</td>\n",
              "      <td>1.953200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21150</td>\n",
              "      <td>1.945900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21200</td>\n",
              "      <td>1.948800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21250</td>\n",
              "      <td>1.951400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21300</td>\n",
              "      <td>1.979900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21350</td>\n",
              "      <td>1.983400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21400</td>\n",
              "      <td>1.951100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21450</td>\n",
              "      <td>1.968900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21500</td>\n",
              "      <td>1.938000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21550</td>\n",
              "      <td>1.951000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21600</td>\n",
              "      <td>1.924000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21650</td>\n",
              "      <td>1.899000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21700</td>\n",
              "      <td>1.959200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21750</td>\n",
              "      <td>1.943900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21800</td>\n",
              "      <td>1.942700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21850</td>\n",
              "      <td>1.893200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21900</td>\n",
              "      <td>1.968000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>21950</td>\n",
              "      <td>1.980400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22000</td>\n",
              "      <td>1.928700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22050</td>\n",
              "      <td>1.958300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22100</td>\n",
              "      <td>1.940600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22150</td>\n",
              "      <td>1.977400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22200</td>\n",
              "      <td>1.931100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22250</td>\n",
              "      <td>1.895800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22300</td>\n",
              "      <td>1.888900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22350</td>\n",
              "      <td>1.933100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22400</td>\n",
              "      <td>1.896900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22450</td>\n",
              "      <td>1.944100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22500</td>\n",
              "      <td>1.962100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22550</td>\n",
              "      <td>1.915500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22600</td>\n",
              "      <td>1.963000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22650</td>\n",
              "      <td>1.908000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22700</td>\n",
              "      <td>1.952900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22750</td>\n",
              "      <td>1.952000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22800</td>\n",
              "      <td>1.880000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22850</td>\n",
              "      <td>1.939300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22900</td>\n",
              "      <td>1.868100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22950</td>\n",
              "      <td>1.937500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23000</td>\n",
              "      <td>1.956000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23050</td>\n",
              "      <td>1.908100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23100</td>\n",
              "      <td>1.893900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23150</td>\n",
              "      <td>1.927900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23200</td>\n",
              "      <td>1.914900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23250</td>\n",
              "      <td>1.940800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23300</td>\n",
              "      <td>1.931800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23350</td>\n",
              "      <td>1.891900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23400</td>\n",
              "      <td>1.876800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23450</td>\n",
              "      <td>1.929300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23500</td>\n",
              "      <td>1.899200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23550</td>\n",
              "      <td>1.915100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23600</td>\n",
              "      <td>1.905700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23650</td>\n",
              "      <td>1.914100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23700</td>\n",
              "      <td>1.898300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23750</td>\n",
              "      <td>1.880900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23800</td>\n",
              "      <td>1.955800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23850</td>\n",
              "      <td>1.897200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23900</td>\n",
              "      <td>1.917400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23950</td>\n",
              "      <td>1.918700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24000</td>\n",
              "      <td>1.909800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24050</td>\n",
              "      <td>1.905500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24100</td>\n",
              "      <td>1.881500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24150</td>\n",
              "      <td>1.897400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24200</td>\n",
              "      <td>1.870900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24250</td>\n",
              "      <td>1.862000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24300</td>\n",
              "      <td>1.860100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24350</td>\n",
              "      <td>1.940500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24400</td>\n",
              "      <td>1.867700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24450</td>\n",
              "      <td>1.900200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24500</td>\n",
              "      <td>1.840100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24550</td>\n",
              "      <td>1.901200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24600</td>\n",
              "      <td>1.870300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24650</td>\n",
              "      <td>1.886400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24700</td>\n",
              "      <td>1.907500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24750</td>\n",
              "      <td>1.902400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24800</td>\n",
              "      <td>1.878700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24850</td>\n",
              "      <td>1.878000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24900</td>\n",
              "      <td>1.890900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24950</td>\n",
              "      <td>1.895500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25000</td>\n",
              "      <td>1.898800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25050</td>\n",
              "      <td>1.930000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25100</td>\n",
              "      <td>1.906400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25150</td>\n",
              "      <td>1.859100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25200</td>\n",
              "      <td>1.878500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25250</td>\n",
              "      <td>1.864400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25300</td>\n",
              "      <td>1.892500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25350</td>\n",
              "      <td>1.891700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25400</td>\n",
              "      <td>1.880100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25450</td>\n",
              "      <td>1.838400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25500</td>\n",
              "      <td>1.838000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25550</td>\n",
              "      <td>1.872000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25600</td>\n",
              "      <td>1.894400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25650</td>\n",
              "      <td>1.869400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25700</td>\n",
              "      <td>1.879600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25750</td>\n",
              "      <td>1.847600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25800</td>\n",
              "      <td>1.860900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25850</td>\n",
              "      <td>1.849400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25900</td>\n",
              "      <td>1.862100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25950</td>\n",
              "      <td>1.899400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26000</td>\n",
              "      <td>1.935600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26050</td>\n",
              "      <td>1.857700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26100</td>\n",
              "      <td>1.891800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26150</td>\n",
              "      <td>1.823400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26200</td>\n",
              "      <td>1.901300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26250</td>\n",
              "      <td>1.850900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26300</td>\n",
              "      <td>1.851600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26350</td>\n",
              "      <td>1.885100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26400</td>\n",
              "      <td>1.882700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26450</td>\n",
              "      <td>1.855700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26500</td>\n",
              "      <td>1.891900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26550</td>\n",
              "      <td>1.865200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26600</td>\n",
              "      <td>1.849300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26650</td>\n",
              "      <td>1.860800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26700</td>\n",
              "      <td>1.906900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26750</td>\n",
              "      <td>1.872600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26800</td>\n",
              "      <td>1.807900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26850</td>\n",
              "      <td>1.894800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26900</td>\n",
              "      <td>1.850600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26950</td>\n",
              "      <td>1.850700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27000</td>\n",
              "      <td>1.898900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27050</td>\n",
              "      <td>1.893400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27100</td>\n",
              "      <td>1.862500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27150</td>\n",
              "      <td>1.845100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27200</td>\n",
              "      <td>1.900600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27250</td>\n",
              "      <td>1.828100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27300</td>\n",
              "      <td>1.866300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27350</td>\n",
              "      <td>1.843300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27400</td>\n",
              "      <td>1.846400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27450</td>\n",
              "      <td>1.836700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27500</td>\n",
              "      <td>1.833000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27550</td>\n",
              "      <td>1.864900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27600</td>\n",
              "      <td>1.847200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27650</td>\n",
              "      <td>1.813000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27700</td>\n",
              "      <td>1.859500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27750</td>\n",
              "      <td>1.808400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27800</td>\n",
              "      <td>1.846600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27850</td>\n",
              "      <td>1.848900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27900</td>\n",
              "      <td>1.856200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27950</td>\n",
              "      <td>1.879000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28000</td>\n",
              "      <td>1.822400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28050</td>\n",
              "      <td>1.816700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28100</td>\n",
              "      <td>1.848600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28150</td>\n",
              "      <td>1.840600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28200</td>\n",
              "      <td>1.811200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28250</td>\n",
              "      <td>1.849500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28300</td>\n",
              "      <td>1.845200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28350</td>\n",
              "      <td>1.826600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28400</td>\n",
              "      <td>1.842400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28450</td>\n",
              "      <td>1.816800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28500</td>\n",
              "      <td>1.857800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28550</td>\n",
              "      <td>1.855000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28600</td>\n",
              "      <td>1.856400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28650</td>\n",
              "      <td>1.800400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28700</td>\n",
              "      <td>1.837500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28750</td>\n",
              "      <td>1.860400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28800</td>\n",
              "      <td>1.830800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28850</td>\n",
              "      <td>1.871400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28900</td>\n",
              "      <td>1.813500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28950</td>\n",
              "      <td>1.832800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29000</td>\n",
              "      <td>1.863400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29050</td>\n",
              "      <td>1.885200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29100</td>\n",
              "      <td>1.843600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29150</td>\n",
              "      <td>1.848800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29200</td>\n",
              "      <td>1.784600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29250</td>\n",
              "      <td>1.841400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29300</td>\n",
              "      <td>1.832700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29350</td>\n",
              "      <td>1.808600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29400</td>\n",
              "      <td>1.838400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29450</td>\n",
              "      <td>1.846300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29500</td>\n",
              "      <td>1.833000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29550</td>\n",
              "      <td>1.880900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29600</td>\n",
              "      <td>1.815800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29650</td>\n",
              "      <td>1.854900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29700</td>\n",
              "      <td>1.859200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29750</td>\n",
              "      <td>1.809600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29800</td>\n",
              "      <td>1.840400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29850</td>\n",
              "      <td>1.829400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29900</td>\n",
              "      <td>1.838600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29950</td>\n",
              "      <td>1.828900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30000</td>\n",
              "      <td>1.760600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30050</td>\n",
              "      <td>1.822200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30100</td>\n",
              "      <td>1.856600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30150</td>\n",
              "      <td>1.814700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30200</td>\n",
              "      <td>1.828400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30250</td>\n",
              "      <td>1.839200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30300</td>\n",
              "      <td>1.822200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30350</td>\n",
              "      <td>1.805900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30400</td>\n",
              "      <td>1.779200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30450</td>\n",
              "      <td>1.823100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30500</td>\n",
              "      <td>1.831400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30550</td>\n",
              "      <td>1.801500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30600</td>\n",
              "      <td>1.814000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30650</td>\n",
              "      <td>1.813600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30700</td>\n",
              "      <td>1.822200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30750</td>\n",
              "      <td>1.839800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30800</td>\n",
              "      <td>1.838600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30850</td>\n",
              "      <td>1.825700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30900</td>\n",
              "      <td>1.785500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30950</td>\n",
              "      <td>1.824100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31000</td>\n",
              "      <td>1.801200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31050</td>\n",
              "      <td>1.827600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31100</td>\n",
              "      <td>1.794100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31150</td>\n",
              "      <td>1.824000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31200</td>\n",
              "      <td>1.823100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31250</td>\n",
              "      <td>1.833100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31300</td>\n",
              "      <td>1.815400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31350</td>\n",
              "      <td>1.781100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31400</td>\n",
              "      <td>1.814300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31450</td>\n",
              "      <td>1.823500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31500</td>\n",
              "      <td>1.793700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31550</td>\n",
              "      <td>1.746900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31600</td>\n",
              "      <td>1.851500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31650</td>\n",
              "      <td>1.816900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31700</td>\n",
              "      <td>1.830700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31750</td>\n",
              "      <td>1.796900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31800</td>\n",
              "      <td>1.803000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31850</td>\n",
              "      <td>1.786300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31900</td>\n",
              "      <td>1.805000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31950</td>\n",
              "      <td>1.803800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32000</td>\n",
              "      <td>1.847400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32050</td>\n",
              "      <td>1.772300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32100</td>\n",
              "      <td>1.828500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32150</td>\n",
              "      <td>1.794000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32200</td>\n",
              "      <td>1.795400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32250</td>\n",
              "      <td>1.818700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32300</td>\n",
              "      <td>1.790200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32350</td>\n",
              "      <td>1.823700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32400</td>\n",
              "      <td>1.812500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32450</td>\n",
              "      <td>1.817400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32500</td>\n",
              "      <td>1.830000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32550</td>\n",
              "      <td>1.810000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32600</td>\n",
              "      <td>1.816100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32650</td>\n",
              "      <td>1.753800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32700</td>\n",
              "      <td>1.790800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32750</td>\n",
              "      <td>1.799000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32800</td>\n",
              "      <td>1.782900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32850</td>\n",
              "      <td>1.794700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32900</td>\n",
              "      <td>1.788400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32950</td>\n",
              "      <td>1.814900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33000</td>\n",
              "      <td>1.772600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33050</td>\n",
              "      <td>1.780200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33100</td>\n",
              "      <td>1.814100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33150</td>\n",
              "      <td>1.792400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33200</td>\n",
              "      <td>1.776300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33250</td>\n",
              "      <td>1.793800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33300</td>\n",
              "      <td>1.777600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33350</td>\n",
              "      <td>1.795600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33400</td>\n",
              "      <td>1.777700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33450</td>\n",
              "      <td>1.838000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33500</td>\n",
              "      <td>1.795100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33550</td>\n",
              "      <td>1.777400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33600</td>\n",
              "      <td>1.807900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33650</td>\n",
              "      <td>1.808700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33700</td>\n",
              "      <td>1.816000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33750</td>\n",
              "      <td>1.835100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33800</td>\n",
              "      <td>1.809500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33850</td>\n",
              "      <td>1.781800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33900</td>\n",
              "      <td>1.826700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33950</td>\n",
              "      <td>1.769400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34000</td>\n",
              "      <td>1.789300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34050</td>\n",
              "      <td>1.735500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34100</td>\n",
              "      <td>1.752200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34150</td>\n",
              "      <td>1.759100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34200</td>\n",
              "      <td>1.763900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34250</td>\n",
              "      <td>1.734300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34300</td>\n",
              "      <td>1.738400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34350</td>\n",
              "      <td>1.771800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34400</td>\n",
              "      <td>1.766200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34450</td>\n",
              "      <td>1.728800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34500</td>\n",
              "      <td>1.775700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34550</td>\n",
              "      <td>1.703100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34600</td>\n",
              "      <td>1.743700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34650</td>\n",
              "      <td>1.764800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34700</td>\n",
              "      <td>1.730600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34750</td>\n",
              "      <td>1.744100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34800</td>\n",
              "      <td>1.757900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34850</td>\n",
              "      <td>1.738400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34900</td>\n",
              "      <td>1.727300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34950</td>\n",
              "      <td>1.744200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35000</td>\n",
              "      <td>1.785700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35050</td>\n",
              "      <td>1.771300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35100</td>\n",
              "      <td>1.732400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35150</td>\n",
              "      <td>1.765200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35200</td>\n",
              "      <td>1.751600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35250</td>\n",
              "      <td>1.784700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35300</td>\n",
              "      <td>1.728200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35350</td>\n",
              "      <td>1.778900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35400</td>\n",
              "      <td>1.744700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35450</td>\n",
              "      <td>1.740000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35500</td>\n",
              "      <td>1.748700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35550</td>\n",
              "      <td>1.748900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35600</td>\n",
              "      <td>1.763800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35650</td>\n",
              "      <td>1.719700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35700</td>\n",
              "      <td>1.745900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35750</td>\n",
              "      <td>1.742300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35800</td>\n",
              "      <td>1.706900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35850</td>\n",
              "      <td>1.731800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35900</td>\n",
              "      <td>1.765000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>35950</td>\n",
              "      <td>1.747000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36000</td>\n",
              "      <td>1.778200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36050</td>\n",
              "      <td>1.736800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36100</td>\n",
              "      <td>1.774900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36150</td>\n",
              "      <td>1.742400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36200</td>\n",
              "      <td>1.725300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36250</td>\n",
              "      <td>1.781400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36300</td>\n",
              "      <td>1.708100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36350</td>\n",
              "      <td>1.732400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36400</td>\n",
              "      <td>1.759400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36450</td>\n",
              "      <td>1.765300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36500</td>\n",
              "      <td>1.767900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36550</td>\n",
              "      <td>1.745400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36600</td>\n",
              "      <td>1.736000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36650</td>\n",
              "      <td>1.706600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36700</td>\n",
              "      <td>1.758700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36750</td>\n",
              "      <td>1.721100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36800</td>\n",
              "      <td>1.750500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36850</td>\n",
              "      <td>1.725500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36900</td>\n",
              "      <td>1.712700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>36950</td>\n",
              "      <td>1.755500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37000</td>\n",
              "      <td>1.740900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37050</td>\n",
              "      <td>1.741000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37100</td>\n",
              "      <td>1.774000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37150</td>\n",
              "      <td>1.742900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37200</td>\n",
              "      <td>1.725600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37250</td>\n",
              "      <td>1.783000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37300</td>\n",
              "      <td>1.766000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37350</td>\n",
              "      <td>1.758900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37400</td>\n",
              "      <td>1.729500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37450</td>\n",
              "      <td>1.695000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37500</td>\n",
              "      <td>1.753800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37550</td>\n",
              "      <td>1.742800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37600</td>\n",
              "      <td>1.733900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37650</td>\n",
              "      <td>1.767600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37700</td>\n",
              "      <td>1.752300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37750</td>\n",
              "      <td>1.706200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37800</td>\n",
              "      <td>1.715100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37850</td>\n",
              "      <td>1.718300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37900</td>\n",
              "      <td>1.679200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>37950</td>\n",
              "      <td>1.730800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38000</td>\n",
              "      <td>1.728700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38050</td>\n",
              "      <td>1.712000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38100</td>\n",
              "      <td>1.717300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38150</td>\n",
              "      <td>1.710200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38200</td>\n",
              "      <td>1.714500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38250</td>\n",
              "      <td>1.780300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38300</td>\n",
              "      <td>1.714900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38350</td>\n",
              "      <td>1.728700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38400</td>\n",
              "      <td>1.742000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38450</td>\n",
              "      <td>1.711300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38500</td>\n",
              "      <td>1.726400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38550</td>\n",
              "      <td>1.688500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38600</td>\n",
              "      <td>1.742200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38650</td>\n",
              "      <td>1.749400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38700</td>\n",
              "      <td>1.731100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38750</td>\n",
              "      <td>1.698300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38800</td>\n",
              "      <td>1.738400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38850</td>\n",
              "      <td>1.701400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38900</td>\n",
              "      <td>1.701400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>38950</td>\n",
              "      <td>1.729900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39000</td>\n",
              "      <td>1.744000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39050</td>\n",
              "      <td>1.675700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39100</td>\n",
              "      <td>1.711700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39150</td>\n",
              "      <td>1.696100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39200</td>\n",
              "      <td>1.698300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39250</td>\n",
              "      <td>1.732700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39300</td>\n",
              "      <td>1.712500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39350</td>\n",
              "      <td>1.705900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39400</td>\n",
              "      <td>1.695100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39450</td>\n",
              "      <td>1.737500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39500</td>\n",
              "      <td>1.726100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39550</td>\n",
              "      <td>1.738200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39600</td>\n",
              "      <td>1.724400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39650</td>\n",
              "      <td>1.744600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39700</td>\n",
              "      <td>1.724800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39750</td>\n",
              "      <td>1.690300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39800</td>\n",
              "      <td>1.703600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39850</td>\n",
              "      <td>1.720200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39900</td>\n",
              "      <td>1.723700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>39950</td>\n",
              "      <td>1.757000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40000</td>\n",
              "      <td>1.731000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40050</td>\n",
              "      <td>1.754200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40100</td>\n",
              "      <td>1.708800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40150</td>\n",
              "      <td>1.740600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40200</td>\n",
              "      <td>1.703000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40250</td>\n",
              "      <td>1.677000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40300</td>\n",
              "      <td>1.749300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40350</td>\n",
              "      <td>1.695400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40400</td>\n",
              "      <td>1.702700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40450</td>\n",
              "      <td>1.705800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40500</td>\n",
              "      <td>1.708500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40550</td>\n",
              "      <td>1.729300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40600</td>\n",
              "      <td>1.708600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40650</td>\n",
              "      <td>1.715800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40700</td>\n",
              "      <td>1.693400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40750</td>\n",
              "      <td>1.704400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40800</td>\n",
              "      <td>1.722200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40850</td>\n",
              "      <td>1.697000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40900</td>\n",
              "      <td>1.705000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>40950</td>\n",
              "      <td>1.711500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41000</td>\n",
              "      <td>1.699100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41050</td>\n",
              "      <td>1.741900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41100</td>\n",
              "      <td>1.718900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41150</td>\n",
              "      <td>1.710200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41200</td>\n",
              "      <td>1.708000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41250</td>\n",
              "      <td>1.711900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41300</td>\n",
              "      <td>1.676400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41350</td>\n",
              "      <td>1.696200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41400</td>\n",
              "      <td>1.723900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41450</td>\n",
              "      <td>1.726400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41500</td>\n",
              "      <td>1.715000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41550</td>\n",
              "      <td>1.689600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41600</td>\n",
              "      <td>1.748500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41650</td>\n",
              "      <td>1.740800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41700</td>\n",
              "      <td>1.671000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41750</td>\n",
              "      <td>1.709600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41800</td>\n",
              "      <td>1.762500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41850</td>\n",
              "      <td>1.761200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41900</td>\n",
              "      <td>1.707900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>41950</td>\n",
              "      <td>1.679600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42000</td>\n",
              "      <td>1.656000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42050</td>\n",
              "      <td>1.741800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42100</td>\n",
              "      <td>1.702800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42150</td>\n",
              "      <td>1.684700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42200</td>\n",
              "      <td>1.735300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42250</td>\n",
              "      <td>1.712500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42300</td>\n",
              "      <td>1.700900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42350</td>\n",
              "      <td>1.761500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42400</td>\n",
              "      <td>1.768100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42450</td>\n",
              "      <td>1.697900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42500</td>\n",
              "      <td>1.670700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42550</td>\n",
              "      <td>1.688600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42600</td>\n",
              "      <td>1.662500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42650</td>\n",
              "      <td>1.707800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42700</td>\n",
              "      <td>1.718800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42750</td>\n",
              "      <td>1.700900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42800</td>\n",
              "      <td>1.699100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42850</td>\n",
              "      <td>1.759100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42900</td>\n",
              "      <td>1.679300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>42950</td>\n",
              "      <td>1.720800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43000</td>\n",
              "      <td>1.696500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43050</td>\n",
              "      <td>1.705900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43100</td>\n",
              "      <td>1.721300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43150</td>\n",
              "      <td>1.704300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43200</td>\n",
              "      <td>1.688500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43250</td>\n",
              "      <td>1.691800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43300</td>\n",
              "      <td>1.731800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43350</td>\n",
              "      <td>1.704400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43400</td>\n",
              "      <td>1.678100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43450</td>\n",
              "      <td>1.690800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43500</td>\n",
              "      <td>1.748400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43550</td>\n",
              "      <td>1.670600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43600</td>\n",
              "      <td>1.733900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43650</td>\n",
              "      <td>1.681300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43700</td>\n",
              "      <td>1.731800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43750</td>\n",
              "      <td>1.707800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43800</td>\n",
              "      <td>1.738200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43850</td>\n",
              "      <td>1.685200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43900</td>\n",
              "      <td>1.701500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>43950</td>\n",
              "      <td>1.681500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44000</td>\n",
              "      <td>1.754200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44050</td>\n",
              "      <td>1.666300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44100</td>\n",
              "      <td>1.635400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44150</td>\n",
              "      <td>1.714900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44200</td>\n",
              "      <td>1.681800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44250</td>\n",
              "      <td>1.680400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44300</td>\n",
              "      <td>1.721900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44350</td>\n",
              "      <td>1.672900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44400</td>\n",
              "      <td>1.697300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44450</td>\n",
              "      <td>1.676600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44500</td>\n",
              "      <td>1.652500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44550</td>\n",
              "      <td>1.682900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44600</td>\n",
              "      <td>1.723700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44650</td>\n",
              "      <td>1.687600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44700</td>\n",
              "      <td>1.750100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44750</td>\n",
              "      <td>1.638900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44800</td>\n",
              "      <td>1.675000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44850</td>\n",
              "      <td>1.708000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44900</td>\n",
              "      <td>1.641700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>44950</td>\n",
              "      <td>1.693300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45000</td>\n",
              "      <td>1.660200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45050</td>\n",
              "      <td>1.686400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45100</td>\n",
              "      <td>1.702800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45150</td>\n",
              "      <td>1.666900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45200</td>\n",
              "      <td>1.704100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45250</td>\n",
              "      <td>1.677200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45300</td>\n",
              "      <td>1.683400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45350</td>\n",
              "      <td>1.667200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45400</td>\n",
              "      <td>1.662400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45450</td>\n",
              "      <td>1.702800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45500</td>\n",
              "      <td>1.708900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45550</td>\n",
              "      <td>1.711700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45600</td>\n",
              "      <td>1.689900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45650</td>\n",
              "      <td>1.646700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45700</td>\n",
              "      <td>1.684300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45750</td>\n",
              "      <td>1.666500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45800</td>\n",
              "      <td>1.677400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45850</td>\n",
              "      <td>1.699900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45900</td>\n",
              "      <td>1.685400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>45950</td>\n",
              "      <td>1.712100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46000</td>\n",
              "      <td>1.682100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46050</td>\n",
              "      <td>1.666600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46100</td>\n",
              "      <td>1.692100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46150</td>\n",
              "      <td>1.709600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46200</td>\n",
              "      <td>1.643400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46250</td>\n",
              "      <td>1.698000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46300</td>\n",
              "      <td>1.711000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46350</td>\n",
              "      <td>1.689600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46400</td>\n",
              "      <td>1.690700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46450</td>\n",
              "      <td>1.678900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46500</td>\n",
              "      <td>1.654800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46550</td>\n",
              "      <td>1.666300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46600</td>\n",
              "      <td>1.685700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46650</td>\n",
              "      <td>1.687500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46700</td>\n",
              "      <td>1.649500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46750</td>\n",
              "      <td>1.663400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46800</td>\n",
              "      <td>1.692000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46850</td>\n",
              "      <td>1.684400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46900</td>\n",
              "      <td>1.684900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>46950</td>\n",
              "      <td>1.694300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47000</td>\n",
              "      <td>1.706900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47050</td>\n",
              "      <td>1.678600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47100</td>\n",
              "      <td>1.689200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47150</td>\n",
              "      <td>1.670500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47200</td>\n",
              "      <td>1.697600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47250</td>\n",
              "      <td>1.651700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47300</td>\n",
              "      <td>1.689700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47350</td>\n",
              "      <td>1.684100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47400</td>\n",
              "      <td>1.721200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47450</td>\n",
              "      <td>1.703300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47500</td>\n",
              "      <td>1.688600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47550</td>\n",
              "      <td>1.621800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47600</td>\n",
              "      <td>1.702600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47650</td>\n",
              "      <td>1.643400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47700</td>\n",
              "      <td>1.649500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47750</td>\n",
              "      <td>1.685100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47800</td>\n",
              "      <td>1.719500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47850</td>\n",
              "      <td>1.695000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47900</td>\n",
              "      <td>1.697900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>47950</td>\n",
              "      <td>1.647500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48000</td>\n",
              "      <td>1.673500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48050</td>\n",
              "      <td>1.663600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48100</td>\n",
              "      <td>1.661400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48150</td>\n",
              "      <td>1.672000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48200</td>\n",
              "      <td>1.691100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48250</td>\n",
              "      <td>1.666700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48300</td>\n",
              "      <td>1.683300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48350</td>\n",
              "      <td>1.701500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48400</td>\n",
              "      <td>1.683900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48450</td>\n",
              "      <td>1.676900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48500</td>\n",
              "      <td>1.698400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48550</td>\n",
              "      <td>1.750700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48600</td>\n",
              "      <td>1.716100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48650</td>\n",
              "      <td>1.705500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48700</td>\n",
              "      <td>1.675200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48750</td>\n",
              "      <td>1.671400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48800</td>\n",
              "      <td>1.657700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48850</td>\n",
              "      <td>1.678100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48900</td>\n",
              "      <td>1.666500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>48950</td>\n",
              "      <td>1.698600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49000</td>\n",
              "      <td>1.699100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49050</td>\n",
              "      <td>1.691900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49100</td>\n",
              "      <td>1.648100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49150</td>\n",
              "      <td>1.643700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49200</td>\n",
              "      <td>1.674000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49250</td>\n",
              "      <td>1.655700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49300</td>\n",
              "      <td>1.701900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49350</td>\n",
              "      <td>1.673100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49400</td>\n",
              "      <td>1.667200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49450</td>\n",
              "      <td>1.662700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49500</td>\n",
              "      <td>1.656800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49550</td>\n",
              "      <td>1.706500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49600</td>\n",
              "      <td>1.699400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49650</td>\n",
              "      <td>1.709700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49700</td>\n",
              "      <td>1.654800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49750</td>\n",
              "      <td>1.688400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49800</td>\n",
              "      <td>1.654800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49850</td>\n",
              "      <td>1.654000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49900</td>\n",
              "      <td>1.660800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>49950</td>\n",
              "      <td>1.634000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50000</td>\n",
              "      <td>1.675300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50050</td>\n",
              "      <td>1.654900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50100</td>\n",
              "      <td>1.652000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50150</td>\n",
              "      <td>1.686300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50200</td>\n",
              "      <td>1.676100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50250</td>\n",
              "      <td>1.658300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50300</td>\n",
              "      <td>1.661500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50350</td>\n",
              "      <td>1.694000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50400</td>\n",
              "      <td>1.652600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50450</td>\n",
              "      <td>1.669200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50500</td>\n",
              "      <td>1.645900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50550</td>\n",
              "      <td>1.661600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50600</td>\n",
              "      <td>1.670800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50650</td>\n",
              "      <td>1.696900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50700</td>\n",
              "      <td>1.628100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50750</td>\n",
              "      <td>1.665200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50800</td>\n",
              "      <td>1.671300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50850</td>\n",
              "      <td>1.667100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50900</td>\n",
              "      <td>1.740300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>50950</td>\n",
              "      <td>1.664800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51000</td>\n",
              "      <td>1.686300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51050</td>\n",
              "      <td>1.645600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51100</td>\n",
              "      <td>1.662400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51150</td>\n",
              "      <td>1.641300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51200</td>\n",
              "      <td>1.653800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51250</td>\n",
              "      <td>1.701800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51300</td>\n",
              "      <td>1.654900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51350</td>\n",
              "      <td>1.646100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51400</td>\n",
              "      <td>1.666400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51450</td>\n",
              "      <td>1.647100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51500</td>\n",
              "      <td>1.702300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51550</td>\n",
              "      <td>1.681500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51600</td>\n",
              "      <td>1.649900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51650</td>\n",
              "      <td>1.655900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51700</td>\n",
              "      <td>1.688000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51750</td>\n",
              "      <td>1.695500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51800</td>\n",
              "      <td>1.660000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51850</td>\n",
              "      <td>1.693000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51900</td>\n",
              "      <td>1.692500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>51950</td>\n",
              "      <td>1.667600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52000</td>\n",
              "      <td>1.644300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52050</td>\n",
              "      <td>1.649300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52100</td>\n",
              "      <td>1.668700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52150</td>\n",
              "      <td>1.619300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52200</td>\n",
              "      <td>1.701200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52250</td>\n",
              "      <td>1.687000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52300</td>\n",
              "      <td>1.645100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52350</td>\n",
              "      <td>1.630500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52400</td>\n",
              "      <td>1.648400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52450</td>\n",
              "      <td>1.659100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52500</td>\n",
              "      <td>1.652600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52550</td>\n",
              "      <td>1.665400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52600</td>\n",
              "      <td>1.666200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52650</td>\n",
              "      <td>1.697300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52700</td>\n",
              "      <td>1.648200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52750</td>\n",
              "      <td>1.634300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52800</td>\n",
              "      <td>1.633000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52850</td>\n",
              "      <td>1.637400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52900</td>\n",
              "      <td>1.664600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>52950</td>\n",
              "      <td>1.696900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53000</td>\n",
              "      <td>1.610600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53050</td>\n",
              "      <td>1.669300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53100</td>\n",
              "      <td>1.629900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53150</td>\n",
              "      <td>1.675200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53200</td>\n",
              "      <td>1.653400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53250</td>\n",
              "      <td>1.627100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53300</td>\n",
              "      <td>1.686100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53350</td>\n",
              "      <td>1.655900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53400</td>\n",
              "      <td>1.655200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53450</td>\n",
              "      <td>1.671400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53500</td>\n",
              "      <td>1.630500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53550</td>\n",
              "      <td>1.640700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53600</td>\n",
              "      <td>1.672000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53650</td>\n",
              "      <td>1.670600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53700</td>\n",
              "      <td>1.601100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53750</td>\n",
              "      <td>1.682000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53800</td>\n",
              "      <td>1.664700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53850</td>\n",
              "      <td>1.636500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53900</td>\n",
              "      <td>1.625700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>53950</td>\n",
              "      <td>1.637200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54000</td>\n",
              "      <td>1.652500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54050</td>\n",
              "      <td>1.646700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54100</td>\n",
              "      <td>1.641700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54150</td>\n",
              "      <td>1.658500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54200</td>\n",
              "      <td>1.671400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54250</td>\n",
              "      <td>1.616700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54300</td>\n",
              "      <td>1.622900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54350</td>\n",
              "      <td>1.662300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54400</td>\n",
              "      <td>1.596200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54450</td>\n",
              "      <td>1.633700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54500</td>\n",
              "      <td>1.653200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54550</td>\n",
              "      <td>1.642200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54600</td>\n",
              "      <td>1.643000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54650</td>\n",
              "      <td>1.644300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54700</td>\n",
              "      <td>1.649200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54750</td>\n",
              "      <td>1.612800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54800</td>\n",
              "      <td>1.647800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54850</td>\n",
              "      <td>1.629600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54900</td>\n",
              "      <td>1.662900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>54950</td>\n",
              "      <td>1.658500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55000</td>\n",
              "      <td>1.664700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55050</td>\n",
              "      <td>1.644200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55100</td>\n",
              "      <td>1.676600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55150</td>\n",
              "      <td>1.653800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55200</td>\n",
              "      <td>1.632200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55250</td>\n",
              "      <td>1.601300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55300</td>\n",
              "      <td>1.639200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55350</td>\n",
              "      <td>1.619100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55400</td>\n",
              "      <td>1.665000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55450</td>\n",
              "      <td>1.644000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55500</td>\n",
              "      <td>1.705000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55550</td>\n",
              "      <td>1.672000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55600</td>\n",
              "      <td>1.592700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55650</td>\n",
              "      <td>1.649800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55700</td>\n",
              "      <td>1.670200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55750</td>\n",
              "      <td>1.636300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55800</td>\n",
              "      <td>1.629200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55850</td>\n",
              "      <td>1.674800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55900</td>\n",
              "      <td>1.643600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>55950</td>\n",
              "      <td>1.588000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56000</td>\n",
              "      <td>1.607700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56050</td>\n",
              "      <td>1.647200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56100</td>\n",
              "      <td>1.624800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56150</td>\n",
              "      <td>1.632500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56200</td>\n",
              "      <td>1.635400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56250</td>\n",
              "      <td>1.627800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56300</td>\n",
              "      <td>1.593800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56350</td>\n",
              "      <td>1.649800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56400</td>\n",
              "      <td>1.654000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56450</td>\n",
              "      <td>1.634400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56500</td>\n",
              "      <td>1.647200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56550</td>\n",
              "      <td>1.642700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56600</td>\n",
              "      <td>1.663100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56650</td>\n",
              "      <td>1.650100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56700</td>\n",
              "      <td>1.652700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56750</td>\n",
              "      <td>1.679500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56800</td>\n",
              "      <td>1.635600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56850</td>\n",
              "      <td>1.630600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56900</td>\n",
              "      <td>1.627700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>56950</td>\n",
              "      <td>1.630800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57000</td>\n",
              "      <td>1.604500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57050</td>\n",
              "      <td>1.635800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57100</td>\n",
              "      <td>1.660800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57150</td>\n",
              "      <td>1.645600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57200</td>\n",
              "      <td>1.631100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57250</td>\n",
              "      <td>1.631400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57300</td>\n",
              "      <td>1.638100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57350</td>\n",
              "      <td>1.612100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57400</td>\n",
              "      <td>1.593000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57450</td>\n",
              "      <td>1.654900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57500</td>\n",
              "      <td>1.659600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57550</td>\n",
              "      <td>1.653100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57600</td>\n",
              "      <td>1.605400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57650</td>\n",
              "      <td>1.583900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57700</td>\n",
              "      <td>1.654100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57750</td>\n",
              "      <td>1.619900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57800</td>\n",
              "      <td>1.690900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57850</td>\n",
              "      <td>1.610100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57900</td>\n",
              "      <td>1.652300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>57950</td>\n",
              "      <td>1.627400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58000</td>\n",
              "      <td>1.614100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58050</td>\n",
              "      <td>1.628000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58100</td>\n",
              "      <td>1.640000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58150</td>\n",
              "      <td>1.664500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58200</td>\n",
              "      <td>1.653200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58250</td>\n",
              "      <td>1.642800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58300</td>\n",
              "      <td>1.636700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58350</td>\n",
              "      <td>1.624800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58400</td>\n",
              "      <td>1.613500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58450</td>\n",
              "      <td>1.660200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58500</td>\n",
              "      <td>1.646000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58550</td>\n",
              "      <td>1.618300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58600</td>\n",
              "      <td>1.672300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58650</td>\n",
              "      <td>1.650800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58700</td>\n",
              "      <td>1.633700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58750</td>\n",
              "      <td>1.620600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58800</td>\n",
              "      <td>1.609000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58850</td>\n",
              "      <td>1.647800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58900</td>\n",
              "      <td>1.631500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>58950</td>\n",
              "      <td>1.634700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59000</td>\n",
              "      <td>1.624300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59050</td>\n",
              "      <td>1.636600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59100</td>\n",
              "      <td>1.602100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59150</td>\n",
              "      <td>1.651000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59200</td>\n",
              "      <td>1.615400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59250</td>\n",
              "      <td>1.671900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59300</td>\n",
              "      <td>1.654900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59350</td>\n",
              "      <td>1.631600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59400</td>\n",
              "      <td>1.631300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59450</td>\n",
              "      <td>1.609700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59500</td>\n",
              "      <td>1.613800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59550</td>\n",
              "      <td>1.622300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59600</td>\n",
              "      <td>1.681800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59650</td>\n",
              "      <td>1.623800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59700</td>\n",
              "      <td>1.601100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59750</td>\n",
              "      <td>1.673000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59800</td>\n",
              "      <td>1.640800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59850</td>\n",
              "      <td>1.661000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59900</td>\n",
              "      <td>1.603900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>59950</td>\n",
              "      <td>1.610800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60000</td>\n",
              "      <td>1.603000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60050</td>\n",
              "      <td>1.621700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60100</td>\n",
              "      <td>1.615400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60150</td>\n",
              "      <td>1.631600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60200</td>\n",
              "      <td>1.631800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60250</td>\n",
              "      <td>1.609600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60300</td>\n",
              "      <td>1.637500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60350</td>\n",
              "      <td>1.645000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60400</td>\n",
              "      <td>1.604600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60450</td>\n",
              "      <td>1.584800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60500</td>\n",
              "      <td>1.635000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60550</td>\n",
              "      <td>1.600800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60600</td>\n",
              "      <td>1.618000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60650</td>\n",
              "      <td>1.615800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60700</td>\n",
              "      <td>1.634000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60750</td>\n",
              "      <td>1.629800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60800</td>\n",
              "      <td>1.625100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60850</td>\n",
              "      <td>1.649900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60900</td>\n",
              "      <td>1.601300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>60950</td>\n",
              "      <td>1.614000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61000</td>\n",
              "      <td>1.619800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61050</td>\n",
              "      <td>1.652800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61100</td>\n",
              "      <td>1.622100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61150</td>\n",
              "      <td>1.622200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61200</td>\n",
              "      <td>1.620000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61250</td>\n",
              "      <td>1.636100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61300</td>\n",
              "      <td>1.613700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61350</td>\n",
              "      <td>1.653700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61400</td>\n",
              "      <td>1.596600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61450</td>\n",
              "      <td>1.644300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61500</td>\n",
              "      <td>1.634300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61550</td>\n",
              "      <td>1.583000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61600</td>\n",
              "      <td>1.594700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61650</td>\n",
              "      <td>1.643800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61700</td>\n",
              "      <td>1.608200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61750</td>\n",
              "      <td>1.599800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61800</td>\n",
              "      <td>1.616200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61850</td>\n",
              "      <td>1.619300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61900</td>\n",
              "      <td>1.592200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>61950</td>\n",
              "      <td>1.598000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62000</td>\n",
              "      <td>1.658700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62050</td>\n",
              "      <td>1.621400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62100</td>\n",
              "      <td>1.638700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62150</td>\n",
              "      <td>1.605900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62200</td>\n",
              "      <td>1.637100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62250</td>\n",
              "      <td>1.618000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62300</td>\n",
              "      <td>1.633900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62350</td>\n",
              "      <td>1.635400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62400</td>\n",
              "      <td>1.591200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62450</td>\n",
              "      <td>1.591200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62500</td>\n",
              "      <td>1.602600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62550</td>\n",
              "      <td>1.559900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62600</td>\n",
              "      <td>1.615700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62650</td>\n",
              "      <td>1.596500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62700</td>\n",
              "      <td>1.612700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62750</td>\n",
              "      <td>1.667700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62800</td>\n",
              "      <td>1.649700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62850</td>\n",
              "      <td>1.653500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62900</td>\n",
              "      <td>1.623100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>62950</td>\n",
              "      <td>1.627200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63000</td>\n",
              "      <td>1.601400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63050</td>\n",
              "      <td>1.647800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63100</td>\n",
              "      <td>1.631700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63150</td>\n",
              "      <td>1.600800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63200</td>\n",
              "      <td>1.576600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63250</td>\n",
              "      <td>1.600600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63300</td>\n",
              "      <td>1.642600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63350</td>\n",
              "      <td>1.583400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63400</td>\n",
              "      <td>1.624800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63450</td>\n",
              "      <td>1.571400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63500</td>\n",
              "      <td>1.618900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63550</td>\n",
              "      <td>1.595900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63600</td>\n",
              "      <td>1.647000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63650</td>\n",
              "      <td>1.615500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63700</td>\n",
              "      <td>1.599200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63750</td>\n",
              "      <td>1.636100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63800</td>\n",
              "      <td>1.639800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63850</td>\n",
              "      <td>1.608300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63900</td>\n",
              "      <td>1.635700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>63950</td>\n",
              "      <td>1.631600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64000</td>\n",
              "      <td>1.600800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64050</td>\n",
              "      <td>1.649900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64100</td>\n",
              "      <td>1.569600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64150</td>\n",
              "      <td>1.557500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64200</td>\n",
              "      <td>1.629600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64250</td>\n",
              "      <td>1.612400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64300</td>\n",
              "      <td>1.583500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64350</td>\n",
              "      <td>1.577200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64400</td>\n",
              "      <td>1.650000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64450</td>\n",
              "      <td>1.612500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64500</td>\n",
              "      <td>1.578200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64550</td>\n",
              "      <td>1.638400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64600</td>\n",
              "      <td>1.597100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64650</td>\n",
              "      <td>1.643100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64700</td>\n",
              "      <td>1.627600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64750</td>\n",
              "      <td>1.568100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64800</td>\n",
              "      <td>1.558700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64850</td>\n",
              "      <td>1.592000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64900</td>\n",
              "      <td>1.581400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>64950</td>\n",
              "      <td>1.599100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65000</td>\n",
              "      <td>1.626400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65050</td>\n",
              "      <td>1.619600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65100</td>\n",
              "      <td>1.617000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65150</td>\n",
              "      <td>1.641500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65200</td>\n",
              "      <td>1.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65250</td>\n",
              "      <td>1.586000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65300</td>\n",
              "      <td>1.594600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65350</td>\n",
              "      <td>1.639500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65400</td>\n",
              "      <td>1.628500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65450</td>\n",
              "      <td>1.601200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65500</td>\n",
              "      <td>1.624500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65550</td>\n",
              "      <td>1.564700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65600</td>\n",
              "      <td>1.582100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65650</td>\n",
              "      <td>1.628700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65700</td>\n",
              "      <td>1.597200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65750</td>\n",
              "      <td>1.614500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65800</td>\n",
              "      <td>1.599300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65850</td>\n",
              "      <td>1.598800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65900</td>\n",
              "      <td>1.618900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>65950</td>\n",
              "      <td>1.647700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66000</td>\n",
              "      <td>1.626700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66050</td>\n",
              "      <td>1.578600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66100</td>\n",
              "      <td>1.592000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66150</td>\n",
              "      <td>1.607000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66200</td>\n",
              "      <td>1.649100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66250</td>\n",
              "      <td>1.610900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66300</td>\n",
              "      <td>1.584400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66350</td>\n",
              "      <td>1.597200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66400</td>\n",
              "      <td>1.652300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66450</td>\n",
              "      <td>1.614800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66500</td>\n",
              "      <td>1.617700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66550</td>\n",
              "      <td>1.604300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66600</td>\n",
              "      <td>1.617400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66650</td>\n",
              "      <td>1.618900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66700</td>\n",
              "      <td>1.615600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66750</td>\n",
              "      <td>1.610300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66800</td>\n",
              "      <td>1.590000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66850</td>\n",
              "      <td>1.642100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66900</td>\n",
              "      <td>1.646600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>66950</td>\n",
              "      <td>1.631500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67000</td>\n",
              "      <td>1.587600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67050</td>\n",
              "      <td>1.621400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67100</td>\n",
              "      <td>1.625500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67150</td>\n",
              "      <td>1.622300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67200</td>\n",
              "      <td>1.595600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67250</td>\n",
              "      <td>1.608200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67300</td>\n",
              "      <td>1.634900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67350</td>\n",
              "      <td>1.620600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67400</td>\n",
              "      <td>1.627700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67450</td>\n",
              "      <td>1.620800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67500</td>\n",
              "      <td>1.607400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67550</td>\n",
              "      <td>1.628300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67600</td>\n",
              "      <td>1.606400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67650</td>\n",
              "      <td>1.628400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67700</td>\n",
              "      <td>1.617300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67750</td>\n",
              "      <td>1.578900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67800</td>\n",
              "      <td>1.578900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67850</td>\n",
              "      <td>1.582600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67900</td>\n",
              "      <td>1.585800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>67950</td>\n",
              "      <td>1.654900</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-16-3435b262f1ae>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/trainer.py\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m   1857\u001b[0m                 \u001b[0mhf_hub_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_progress_bars\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1858\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1859\u001b[0;31m             return inner_training_loop(\n\u001b[0m\u001b[1;32m   1860\u001b[0m                 \u001b[0margs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1861\u001b[0m                 \u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/transformers/trainer.py\u001b[0m in \u001b[0;36m_inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n\u001b[1;32m   2206\u001b[0m                     \u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogging_nan_inf_filter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2207\u001b[0m                     \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_torch_xla_available\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2208\u001b[0;31m                     \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misnan\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtr_loss_step\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misinf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtr_loss_step\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2209\u001b[0m                 ):\n\u001b[1;32m   2210\u001b[0m                     \u001b[0;31m# if loss is nan or inf simply add the average of previous logged losses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "inference(\n",
        "    model,\n",
        "    tokenizer,\n",
        "    \"Once upon a time, in a beautiful garden, there lived a little rabbit named Peter Rabbit.\"\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XPGJWfdkimKA",
        "outputId": "0557bec7-cac0-4b96-9bc5-fd46a4ea94d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Once upon a time, in a beautiful garden, there lived a little rabbit named Peter Rabbit. Peter had a friend named Rosie. They loved to play together. They would run, jump, and laugh all day long.\n",
            "One day, Robby saw a big box in his yard. He was curious and wanted to know what was inside. So, he went to his friend's house and asked, \"What are you doing, Spark?\" May replied, \"I am making this big box in the garden, and I am trying to open it!\"\n",
            "Timmy and Hopper went to find the big box. They found a key under a tree. They opened the box and found many toys inside. They were so happy to have a fun day with their new friend. They played with the toys all day long. And from that day on, whenever Ellie was a part of something, they would always remember the day they met by the big pond.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **5. 保存模型**"
      ],
      "metadata": {
        "id": "hRDZJr0lr-CO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 保存到本地\n",
        "model.save_pretrain('my_model')"
      ],
      "metadata": {
        "id": "QGlHVtXDsGdv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 登陆 Hugging Face\n",
        "from huggingface_hub import notebook_login\n",
        "\n",
        "notebook_login()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 113,
          "referenced_widgets": [
            "5fdb8a65f8ca40c79312c515c9401b2b",
            "7b3f116afe424930a426de55f6390133",
            "19f57912f7424829999cb00ab52bed19",
            "73e55a7eaf674d55b49106c9c204ddb5",
            "4c86b6cff80044cd8e420c8687081711",
            "e467e3df703b4e739eac8b014f30b8c0",
            "d510f6e6cb124443b87057195172a650",
            "9640a8d4b862495293ac283de23603e9",
            "e9296f5c73334bb4b32f66d073e572d5",
            "18eb5bbb99494a3fa5d4f5255f26555b",
            "a72175055fdc4712b6407f2b428c2124",
            "6cd075e000654634a180e95a8b531898",
            "cead083ca22e4ba8996a4a1e635be9cd",
            "5cffce60749e4114b3b9c56afc340b2e",
            "e6d11c9ed5a64fa79058076945839d45",
            "936191a0cf204ba8acfa41f4b60579f5",
            "55f17483ea3b4c878c43c35347e52702",
            "cffeeec421eb45b0ad837a71d3bec8fb",
            "7826c1fadfed434f9edd9a2ac03c5f4a",
            "fedfb37f590b4029a7536ca8efd6612e",
            "dc252b5f726446b29e37ac47bbdffd48",
            "fc13c096c74041a38ee7ca2cc897eba2",
            "3f57d98a90a14a289c72b2628e6417c2",
            "ed12dc5e1566422b8f42451a295a96b7",
            "f74d06279167420684324df4bba75592",
            "febcbf07966746a482be129a685b6616",
            "5da698b7993b46818230d40928dfe58a",
            "67481c00f1f743f29ab5225534cc640e",
            "e43d5eb47cbe4722ac9b736eedfc498a"
          ]
        },
        "id": "AI_3lxObBJLP",
        "outputId": "65e8c3d9-0233-4113-a193-f48ac32abc4d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5fdb8a65f8ca40c79312c515c9401b2b"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 上传到 Hugging Face\n",
        "repo_name = 'TinyStories-LLaMA2-20M-256h-4l-GQA'\n",
        "\n",
        "model.push_to_hub(repo_name)\n",
        "tokenizer.push_to_hub(repo_name)"
      ],
      "metadata": {
        "id": "PT1HpaGQlM72"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "tCz_Dq3yA-cx"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}
